ObjectiveTo explore the relationship between acne vulgaris and gut microbiota. MethodsA total of 29 clinical cases diagnosed with moderate-to-severe acne vulgaris and 26 healthy individuals as control subjects were recruited. Fecal specimens were collected from all participants， and further analysis of gut microbial communities was performed by leveraging high-throughput sequencing techniques that target the hypervariable regions of 16S rRNA genes. ResultsAssociations between acne vulgaris and alterations in gut microbiota were identified. At the phylum level， the relative abundance of Bacteroidota exhibited a statistically significant elevation in the acne vulgaris cohort when compared with the healthy control group （P<0.01）， while Cyanobacteria was significantly lower in the acne group （P<0.01）. At the genus level， the top five different bacterial taxa in both groups were Bacteroides， Escherichia⁃Shigella， Klebsiella， Roseburia， and Parabacteroides. Among them， Bacteroides， Roseburia， and Parabacteroides were more abundant in acne patients. Linear discriminant analysis identified five biomarkers all belonging to the Bacteroidota phylum in the acne and control groups. These biomarkers belong to the phylum Bacteroidetes. ConclusionThere are significant differences in the composition of intestinal microbiota between acne patients and healthy people. Changes in the richness of specific bacterial genera may become new targets for the diagnosis and treatment of acne.

The introduction of immunotherapy has changed the traditional paradigms in cancer treatment and has demonstrated substantial clinical benefits across various malignancies. However, this progress is accompanied with emerging challenges, such as immune evasion and low response rates to immunotherapy. As an immunomodulatory molecule, zymogen granule protein 16 (ZG16) plays a crucial role in immunotherapy by inhibiting the binding of programmed death 1 (PD-1) to its ligand PD-L1, preventing immune evasion and restoring the immune system's ability to recognize and eliminate tumor cells. ZG16 is downregulated in multiple gastrointestinal tumors, and its regulatory mechanisms vary depending on the tumor type. ZG16 expression is closely associated with patient prognosis, and it has been identified as a favorable prognostic marker in colorectal cancer. This article provides a systematic overview of the structural characteristics, expression regulation mechanisms, and antitumor immune functions of ZG16.

Objective To investigate the effect of miR-7975 on the malignant phenotype of oral squamous cell carcinoma(OSCC)and its potential mechanisms.Methods This study compared the expression levels of miR-7975 in different oral cell lines by qRT-PCR.miR-7975 mimic and miR-7975 inhibitor were transfected into OSCC cell lines HSC3 and HN4 respectively.Colony formation as-say,CCK8 assay,Transwell assay,and wound healing assay were conducted to evaluate the effects of miR-7975 on the malignant phe-notype of OSCC cells.Western blot was employed to analyze changes in the expression of EMT related proteins and proteins associated with the RAS/ERK signaling pathway.Subcutaneous tumor model of nude mice was used to further validate the tumorigenic effect of miR-7975 in vivo.Results The expression of miR-7975 was downregulated in OSCC cells.Overexpression of miR-7975 reduced the proliferation,migration,and invasion abilities of OSCC cells,whereas downregulation of miR-7975 enhanced these abilities.After miR-7975 overexpression,the expression of the EMT-related protein E-cadherin was upregulated,while N-cadherin,Vimentin,β-catenin,Snail,and Slug were downregulated.Additionally,the expression of proteins related to the RAS/ERK signaling pathway increased.Conversely,the expression of EMT and RAS/ERK signaling pathway-related proteins showed opposite changes when miR-7975 was downregulated.Compared to the control group,the volume and weight of tumors formed in nude mice were significantly smaller after miR-7975 overexpression,while they were significantly larger when miR-7975 expression was reduced.Conclusion miR-7975 exerts its tumor-suppressive effects by inhibiting the proliferation,migration,and invasion of OSCC through the regulation of EMT and the RAS/ERK signaling pathway.

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.

Objective:To study the optimal anastomotic angle of end-to-side anastomosis autogenous arteriovenous fistula (AVF).Methods:A case-report and case-series design was used to obtain clinical data on 10 patients with diabetic nephropathy from Department of Nephrology, the 905th Hospital of the Chinese People′s Liberation Army Navy from June 2024 to February 2025. The models of "radial artery-cephalic vein" end-to-side anastomosis in the forearm with anastomotic angles of 30°, 40°and 50°were established. Numerical simulation was used to analyze the blood flow in the model, and to study the effect of different anastomotic angles on blood flow. Wall shear stress (WSS), cross section flow velocity and flow rate, and relative residence time (RRT) were studied in the model. The Whitney test with Holm correction was used to evaluate the difference in the median RRT between the three angle models.Results:At the moment of 0.65 s, the area fraction of low wall shear stress (LWSS) in the 30° model was 7.7%, which was reduced by 2.4% and 3.7% compared to the 40°and 50°models, respectively. At the time of 0.2 s, the area proportions of high wall shear stress (HWSS) in the 30°, 40°and 50°models were 54.4%, 43.9% and 37.4%, respectively. At 0.2 s, the maximum cross section flow velocity reached 4.07, 3.84 and 3.67 m/s for the 30°, 40°and 50°models, respectively. In the cycle, the maximum mean flow velocity for the 30°model reached 1.20 m/s. The mean flow rates of the 30°, 40°and 50°models in the J-5 cross section were 349, 316, and 328 ml/min, respectivly. For patient 6, the area proportions of the RRT>1 region were 11.97%, 14.84% and 15.22% for the 30°, 40°and 50°models, respectively.Conclusions:The optimal anastomotic angle of "radial artery-cephalic vein" for end-to-side anastomosis AVF surgery in patients with diabetic nephropathy is 40°.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective To investigate the effect of miR-7975 on the malignant phenotype of oral squamous cell carcinoma(OSCC)and its potential mechanisms.Methods This study compared the expression levels of miR-7975 in different oral cell lines by qRT-PCR.miR-7975 mimic and miR-7975 inhibitor were transfected into OSCC cell lines HSC3 and HN4 respectively.Colony formation as-say,CCK8 assay,Transwell assay,and wound healing assay were conducted to evaluate the effects of miR-7975 on the malignant phe-notype of OSCC cells.Western blot was employed to analyze changes in the expression of EMT related proteins and proteins associated with the RAS/ERK signaling pathway.Subcutaneous tumor model of nude mice was used to further validate the tumorigenic effect of miR-7975 in vivo.Results The expression of miR-7975 was downregulated in OSCC cells.Overexpression of miR-7975 reduced the proliferation,migration,and invasion abilities of OSCC cells,whereas downregulation of miR-7975 enhanced these abilities.After miR-7975 overexpression,the expression of the EMT-related protein E-cadherin was upregulated,while N-cadherin,Vimentin,β-catenin,Snail,and Slug were downregulated.Additionally,the expression of proteins related to the RAS/ERK signaling pathway increased.Conversely,the expression of EMT and RAS/ERK signaling pathway-related proteins showed opposite changes when miR-7975 was downregulated.Compared to the control group,the volume and weight of tumors formed in nude mice were significantly smaller after miR-7975 overexpression,while they were significantly larger when miR-7975 expression was reduced.Conclusion miR-7975 exerts its tumor-suppressive effects by inhibiting the proliferation,migration,and invasion of OSCC through the regulation of EMT and the RAS/ERK signaling pathway.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objectives:To investigate the effect of the expression of low-density lipoprotein receptor associated protein (LDLR) on the vascular abnormalities in hepatocellular carcinoma (HCC) and its mechanisms.Methods:Based on the information of Oncomine Cancer GeneChip database, we analyzed the correlation between the expression level of LDLR and the expression level of carcinoembryonic antigen (CEA) and CD31 in hepatocellular carcinoma tissues. Lentiviral transfection of short hairpin RNA target genes was used to construct LDLR-knockdown MHCC-97H and HLE hepatocellular carcinoma cells. The differential genes and their expression level changes in LDLR-knockdown hepatocellular carcinoma cells were detected by transcriptome sequencing, real-time fluorescence quantitative polymerase chain reaction, and protein immunoblotting. The gene-related signaling pathways that involve LDLR were clarified by enrichment analysis. The effect of LDLR on CEA was assessed by the detection of CEA content in conditioned medium of hepatocellular carcinoma cells. Angiogenesis assay was used to detect the effect of LDLR on the angiogenic capacity of human umbilical vein endothelial cells, as well as the role of CEA in the regulation of angiogenesis by LDLR. Immunohistochemical staining was used to detect the expression levels of LDLR in 176 hepatocellular carcinoma tissues, and CEA and CD31 in 146 hepatocellular carcinoma tissues, and analyze the correlations between the expression levels of LDLR, CEA, and CD31 in the tissues, serum CEA, and alanine transaminase (ALT).Results:Oncomine database analysis showed that the expressions of LDLR and CEA in the tissues of hepatocellular carcinoma patients with portal vein metastasis were negatively correlated ( r=-0.64, P=0.001), whereas the expressions of CEA and CD31 in these tissues were positively correlated ( r=0.46, P=0.010). The transcriptome sequencing results showed that there were a total of 1 032 differentially expressed genes in the LDLR-knockdown group and the control group of MHCC-97H cells, of which 517 genes were up-regulated and 515 genes were down-regulated. The transcript expression level of CEACAM5 was significantly up-regulated in the cells of the LDLR-knockdown group. The Gene Ontology (GO) function enrichment analysis showed that the differential genes were most obviously enriched in the angiogenesis function. The Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis showed that the relevant pathways involved mainly included the cellular adhesion patch, the extracellular matrix receptor interactions, and the interactions with the extracellular matrix receptors. The CEA content in the conditioned medium of the LDLR-knockdown group was 43.75±8.43, which was higher than that of the control group (1.15±0.14, P＜0.001). The results of angiogenesis experiments showed that at 5 h, the number of main junctions, the number of main segments, and the total area of the lattice formed by HUVEC cells cultured with the conditioned medium of MHCC-97H cells in the LDLR-knockdown group were 295.3±26.4, 552.5±63.8, and 2 239 781.0±13 8211.9 square pixels, which were higher than those of the control group (113.3±23.5, 194.8±36.5, and 660 621.0±280 328.3 square pixels, respectively, all P＜0.01).The number of vascular major junctions, the number of major segments, and the total area of the lattice formed by HUVEC cells cultured in conditioned medium with HLE cells in the LDLR-knockdown group were 245.3±42.4, 257.5±20.4, and 2 535 754.5±249 094.2 square pixels, respectively, which were all higher than those of the control group (113.3±23.5, 114.3±12.2, and 1 565 456.5±219 259.7 square pixels, respectively, all P＜0.01). In the conditioned medium for the control group of MHCC-97H cells,the number of main junctions, the number of main segments, and the total area of the lattice formed by the addition of CEA to cultured HUVEC cells were 178.9±12.0, 286.9±12.3, and 1 966 990.0±126 249.5 spixels, which were higher than those in the control group (119.7±22.1, 202.7±33.7, and 1 421 191.0±189 837.8 square pixels, respectively). The expression of LDLR in hepatocellular carcinoma tissues was not correlated with the expression of CEA, but was negatively correlated with the expression of CD31 ( r=-0.167, P=0.044), the level of serum CEA ( r=-0.061, P=0.032), and the level of serum ALT (r=-0.147, P=0.05). The expression of CEA in hepatocellular carcinoma tissues was positively correlated with the expression of CD31 ( r=0.192, P=0.020). The level of serum CEA was positively correlated with the level of serum ALT ( r=0.164, P=0.029). Conclusion:Knocking down LDLR can promote vascular abnormalities in HCC by releasing CEA.